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AII-Weighted Positive and Negative Association RuIes Mining Based on Dynamic Item Weight
Pages: 1545-1554
Year: Issue:  8
Journal: Acta Electronica Sinica

Keyword:  data miningall-weighted association rulenegative association rulefrequent itemset;
Abstract: This paper proposes a mining algorithm of all-weighted positive and negative association rules based on dynamic item weight,which can solve the problems of negative patterns mining based on dynamic item weight.This algorithm took the dy-namic item weight dependent on transaction records into consideration,and adopted the itemset pruning method and pattern evalua-tion framework so as to discover effective all-weighted positive &negative association rules via simple calculation and comparison of weight ratio and dimension ratio from the itemset.The experimental results show that this algorithm can prevent ineffective patterns, which makes the maximal declines of the mining time and number of the candidate itemsets by up to 94.09% and 88.16% respec-tively compared with the existing unweighted positive and negative association rule mining algorithms.
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